10 Fully Funded PhD Programs at University of Luxembourg, Luxembourg

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? University of Luxembourg, Luxembourg inviting application for funded PhD Programs or fully funded PhD Scholarship. University of Luxembourg is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

University of Luxembourg has huge a campus in Luxembourg and widely known as for its contribution in top notch education and research. The contribution of University of Luxembourg is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. Doctoral candidate (PhD student) in Computer Science

Summary of Doctoral Project:

The candidate will contribute to the FNR CORE project “Give control back to users: personalised privacy-preserving data aggregation from heterogeneous social graphs” (HETERS). The project is within the Security and Trust of Software System (SaToSS) research group led by Prof. Sjouke Mauw. The purpose of the project is to aggregate and release heterogeneous social network data with the help of social network users while preserving their personalized privacy requirements. The successful candidate will conduct research with a focus on designing methods to synthesise heterogeneous social graphs with data that are privately collected and aggregated from volunteering users.

Last Application Date: Open Until Filled

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2. PhD student in Physics (halide organic/inorganic perovskites, surface science)

Summary of Doctoral Project:

The successful PhD candidate will work in the field of halide organic/inorganic perovskites. This material class is of extreme importance for the development of highly efficient and cheap single and multi-junction solar cells. The project consists of synthesizing low dimensional perovskites via multistage evaporation and to study these materials on the atomic scale with scanning probe microscopy methods, such as scanning tunneling spectroscopy and Kelvin Probe Force Microscopy. The work will be carried out under the supervision of Prof. Dr. Alex Redinger.

Last Application Date: Open Until Filled

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3. PhD candidates in MetaCognitive Radar: Next generation of Cognitive Radar

Summary of Doctoral Project:

During the past two decades, enabling cognition in radar has heralded a new era of radar system design and engineering. Cognitive radars (CRs), offer advanced sensing capabilities by simultaneously optimizing both transmit and receive processing in response to the changes in the target environment. In general, a cognitive radar is designed to apply a single specific framework or algorithm to achieve its desired performance based on a pre-determined criteria. Since radars perform a multitude of tasks such as detection, estimation and tracking, in practice, a single cognitive radar framework is insufficient to address changes in the system hardware and channel environment over long periods of time. In such cases, there has been recent efforts on going beynd the current cognitive framework leading to the emerging concept of metacognitive radar. Similar to cognition, the concept of metacognition is also borrowed from neurobiology where it denotes the process of knowing and controlling cognition. This confluence of control and learning theories in cognitive radars is a more recent development driven by the challenges in implementing advanced detection, estimation, and classification features. Considering the importance of metacognition in radar, the SPARC group has envisaged a research project and managed to acquire research funding for a PhD position.

Last Application Date: Open Until Filled

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4. PhD candidates – Spontaneous Applications for Next Generation Radar Sensing Networks

Summary of Doctoral Project:

The group has been working on next generation radar sensors in different applications, including automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build distributed and co-operative sensing networks. SPARC group has further expanded its research to integrated sensing and communications, weather radar systems and metacognitive radars,. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly. Its members have been involved in a number of seminal papers in the area of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D radar imaging, distributed sensing, and tracking. SPARC has also collaborating with long term industry partner IEE S.A (www.iee.lu) , University of Naples Federico II, US Airforce Laboratories, TU Berlin and TU Munich among others.

Last Application Date: Open Until Filled

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5. PhD candidate in Resilient Real-Time and Embedded Systems for Space and Ground

Summary of Doctoral Project:

SnT is a centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by the Horizon2020 programme and the European Space Agency. For further information you may check: www.securityandtrust.lu CritiX (Critical and Extreme Security and Dependability) is a research group, and a laboratory for state-of-the-art research in resilient computing. Our goal is to prepare systems to automatically and autonomous operate through accidental faults and withstand targeted attacks for extended periods of time. For further information you may check: http://wwwen.uni.lu/snt/research/critix We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Last Application Date: Open Until Filled

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6. PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

Summary of Doctoral Project:

In this context, the PhD candidate will be in charge of investigating innovative Machine Learning (ML)-based solutions and methodologies to predict the Remaining Useful Life (RUL) of the aircraft structure [Ra19] using, among other data sources, the data generated by the “smart skin” during the operational phase, and communicate the estimations to the end-user in the form of actionable maintenance indications. Several scientific challenges will be addressed in this PhD, spanning from the necessity to efficiently and optimally cope with (i) imbalanced data [DA22] by e.g. generating synthetic data using GAN/transformers; (ii) possible model drifts over time [Lu18] by e.g. developing ‘vigilance’ mechanisms to detect them and trigger appropriate actions (e.g., rising alerts to operators, model re-training, etc.); or still to cope with (iii) the lack of transparency and explainability of existing ML techniques [Sa19] by e.g. implementing and comparing existing eXplainable AI (XAI) frameworks when dealing with aircraft PdM and time series, and, if needed, to adapt them to our problem.

Last Application Date: Open Until Filled

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7. PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

Summary of Doctoral Project:

In this context, the PhD candidate will be in charge of investigating innovative Machine Learning (ML)-based solutions and methodologies to predict the Remaining Useful Life (RUL) of the aircraft structure [Ra19] using, among other data sources, the data generated by the “smart skin” during the operational phase, and communicate the estimations to the end-user in the form of actionable maintenance indications. Several scientific challenges will be addressed in this PhD, spanning from the necessity to efficiently and optimally cope with (i) imbalanced data [DA22] by e.g. generating synthetic data using GAN/transformers; (ii) possible model drifts over time [Lu18] by e.g. developing ‘vigilance’ mechanisms to detect them and trigger appropriate actions (e.g., rising alerts to operators, model re-training, etc.); or still to cope with (iii) the lack of transparency and explainability of existing ML techniques [Sa19] by e.g. implementing and comparing existing eXplainable AI (XAI) frameworks when dealing with aircraft PdM and time series, and, if needed, to adapt them to our problem.

Last Application Date: Open Until Filled

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8. PhD candidate in Emerging on-board processing techniques for Next Generation SatComs

Summary of Doctoral Project:

This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project (INSTRUCT – INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with SES (https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. The broader objective of the PhD project is at critically investigating the amount of GW functionality that can be transferred in the sky.

Last Application Date: Open Until Filled

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9. Doctoral candidate (PhD student) in the field of contemporary history/history of technology

Summary of Doctoral Project:

Historians have only recently started to investigate the period “after the boom”. Western societies experienced dramatic economic, societal and cultural changes since the industrial crisis of the 1970s and the following massive structural changes. In 1975, Luxembourg was hit by the steel crisis and the country’s largest employer, the steel company ARBED, threatened to cut back production and jobs at large. In the following decades, the country was oscillating between the management of industrial decline and a new boom in finance and service economy. The envisioned project will take Esch-Belval as a point of departure to investigate Luxembourg’s history after the boom. The former iron and steel works of Belval, built in 1909/11, largely refurbished and expanded after the Second World War, was partly closed in the late 1990s and transformed into a new urban district. Today, it hosts the campus of the University of Luxembourg. The project will investigate the structural changes in the country since the steel crisis, taking the entangled regional, national and transnational developments into its focus.

Last Application Date: Open Until Filled

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10. PhD candidate in Task-Oriented Communication Design for 6G Cyber-Physical Systems

Summary of Doctoral Project:

This is a fully funded position for 3 years (extendable to an additional 4th year). The successful candidate is expected to work on an emerging topic of Semantic and Task-oriented Communications Design for 6G Networks. The purpose of this project is to develop a novel communication design paradigm for multi-agent cyber-physical 6G systems which simultaneously maximizes the task effectiveness metric and the network resource usage. The developed task-oriented communication design is expected to apply to various important application domains, such as Industrial IoT, Multi-UAV systems, and multi-layer wireless networks.

Last Application Date: Open Until Filled

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